Machine Learning (ML)Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch
Subodh Popalwar
Software Engineer, Memorres
About Leena AI
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Amazon Web Services (AWS)
PythonMachine Learning (ML)
Django
FlaskTitle:
Software Engineer – Backend (Python)
About the Role:
Our team is responsible for building the backend components of the MLOps platform on AWS.
The backend components we build are the fundamental blocks for feature engineering, feature serving, model deployment and model inference in both batch and online modes.
What you’ll do here
• Design & build backend components of our MLOps platform on AWS.
• Collaborate with geographically distributed cross-functional teams.
• Participate in on-call rotation with the rest of the team to handle production incidents.
What you’ll need to succeed
Must have skills:
• At least 3+ years of professional backend web development experience with Python.
• Experience with web development frameworks such as Flask, Django or FastAPI.
• Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc.
• Experience with concurrent programming designs such as AsyncIO.
• Experience with unit and functional testing frameworks.
• Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS.
• Experience with CI/CD practices, tools, and frameworks.
Nice to have skills:
• Experience with MLOps plaBorms such as AWS Sagemaker, Kubeflow or MLflow.
• Experience with big data processing frameworks, preferably Apache Spark.
• Experience with containers (Docker) and container platforms like AWS ECS or AWS EKS.
• Experience with DevOps & IaC tools such as Terraform, Jenkins etc.
• Experience with various Python packaging options such as Wheel, PEX or Conda.
PythonDjangoFlaskAbout the Role:
Our team is responsible for building the backend components of MLOps plaBorm on AWS.
The backend components we build are the fundamental blocks for feature engineering,
feature serving, model deployment and model inference in both batch and online modes.
What you’ll do here
•Design & build backend components of our MLOps plaBormon AWS.
•Collaborate with geographically distributed cross-funcMonal teams.
•ParMcipate in on-call rotaMon with the rest of the team to handle producMon incidents.
What you’ll need to succeed
Must have skills:
•At least 8+ years ofprofessionalbackend web development experience with Python.
•Experiencewith web development frameworks such as Flask, Django or FastAPI.
•Experience working with WSGI & ASGI web serverssuch as Gunicorn, Uvicornetc.
•Experience with concurrent programming designs such as AsyncIO.
•Experience withunit and funcMonal tesMng frameworks.
•Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS.
•Experience with CI/CD practices, tools,and frameworks.
Nice to have skills:
•Experience with Apache KaYa and developing KaYa client applicaMons in Python.
•Experience with MLOps plaBorms such as AWS Sagemaker, Kubeflow or MLflow.
•Experience with big data processing frameworks, preferably Apache Spark.
•Experience with containers(Docker)andcontainer plaBorms likeAWS ECSor AWS EKS.
•Experience with DevOps & IaC tools such as Terraform, Jenkinsetc.
•Experience with various Python packaging opMons such as Wheel, PEX or Conda.
Python- Developing chatbots and voice assistants on various platforms for diverse business use-cases
- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process
- Deploy applications using CI/CD tools
- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.
Ruby on Rails (ROR)
Ruby
React.js
PostgreSQLCogoport Story
Do you prefer to get speeding tickets or parking tickets?
Because at Cogoport we are speeding ahead to do something remarkable for the world. We are trying to solve the Trade Knowledge and Execution Gap, which is currently widening and preventing trade to the tune of $3.4 trillion annually. This Gap has enormous economic as well as human impact and disproportionately hits small and medium businesses globally.
The team at Cogoport is working on developing a new category, the Global Trade Platform, that helps companies discover and connect with appropriate trade partners, optimize shipping and logistics options and costs, and improve cash management and cash flow.
Cogoport is currently in hypergrowth mode. We are proud to have been named an Asia-Pacific High-Growth Company by the Financial Times and an Indian Growth Champion by the Economic Times. We are aiming to reach an annualized revenue of $1 billion (7700 Crores INR) by this summer and are hiring over 500 additional employees. We are currently hiring in Mumbai, Gurgaon, Chennai and Bangalore.
Cogoport Culture: We have two core values at Cogoport—Intrapreneurship and Customer-centricity. If you share these values and are a hard worker who is willing to take risks (and occasionally get a speeding ticket), you can make a huge impact and propel your career in an endless number of directions with Cogoport.
Cogoport Leadership
https://www.linkedin.com/in/purnendushekhar/">https://www.linkedin.com/in/purnendushekhar/
https://www.linkedin.com/in/amitabhshankar/">https://www.linkedin.com/in/amitabhshankar/
Life at Cogoport: It’s rare to be able to join a company that can give you the resources, support and technology you need to break new ground and see your ideas come to life. You’ll be surrounded by some of the smartest engineers and commercial specialists in India and the Asia Pacific Region.
With huge growth and the right entrepreneurial mindset, comes huge opportunities! So, wherever you join us, you’ll be able to dream, deliver better and brighter solutions, and speed ahead with the possibility to propel your career forward in endless directions as our company continues to grow and expand.
For more insights about the company: https://cogoport.com/about">https://cogoport.com/about
Why Cogoport?
International Trade can be complicated at times and every day brings new challenges and opportunities to learn. When we simplify international trade, it empowers and affects every human being on the face of this earth. Seven billion people - one common problem.
As a part of the Talent team at Cogoport, you will get an opportunity to be a part of an industry-wide revolution in the world of shipping and logistics by collaborating with other brilliant minds to resolve real world on-ground challenges. You will have a direct impact on the revenue and profitability growth for the organization.
Areas of Impact for you
- Hands-on management with deep-dive into the details of software design, implementation and debugging.
- Guide your teams in developing roadmaps and systems to drive product growth, then identify, plan, and execute projects to support that growth.Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and interactions with the internal teams and external partners.
- Collaborate with stakeholders from across functions to keep the development team in sync with all functions and overall business objectives.
- Develop large multi-tenant applications in Rails.
- Understand Rails best practices and religiously introduce those to codebase.
- Set up, create and manage strong best practices/architecture to ensure reliable, secure, bug-free, and performant software is released on-time.
Desirable Skills and Experience
- Loves coding.
- 4-6 years of experience managing technology teams.
- Demonstrated ability to build complex scalable technology products.
- Should have prior experience of working with ROR, React, PostgreSQL and cloud infra.
- Understanding scaling strategies for a high-traffic Rails applications.
- Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
- Experience in using ActiveRecordSerialize, RSpec and active interaction.Engin
- Knowledge about Asynchronous Networking in Ruby; Refactoring ActiveRecord Models; Background Job processing using Redis and Sidekiq; Writing automated Deployment Scripts using Capistrano, Ansible etc.
- Expertise in Data Science and Machine Learning is a plus.
- Expertise in Jenkins, Kubernetes, dockers and cloud technology is a plus.
Cogoport is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and respected at work.
PythonDjangoYour responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 2+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases.
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Requests, sklearn, Selenium
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good Humor
Note- We are currently working from home due to the pandemic. If selected you may work from a remote location though once office reopens candidate must work from Office.
Data SciencePythonDevelop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
MongoDBMachine Learning (ML)
Docker
Python
Java
ScalaMachine Learning (ML)JavaPython
JavascriptAmazon Web Services (AWS)
Follow CutshortSubodh Popalwar
Software Engineer, Memorres